Abstract: A method, network node and wireless device for position reference signal (PRS) design by extending a base signal are disclosed. According to one aspect, a method in a wireless device (WD) includes obtaining extended reference signal, RS, configurations from the network node. The method also includes determining a waveform associated with the extended RS. The method also includes detecting a RS and estimate an associated time of arrival. The method further includes sending a measurement report to the network node based on the estimated time of arrival.

Abstract: A system and method for providing phase noise-based signal design for positioning in a communication system. In one embodiment, an apparatus is configured to receive configuration parameters for a reference signal based on a level of phase noise for the reference signal estimated by a user equipment, apply the configuration parameters to the reference signal to obtain a modified reference signal, and transmit the modified reference signal to the user equipment to enable a position of the user equipment to be determined.

Abstract: A communication device in a communications network receives (1710) first configuration information from a network node in the communications network. The first configuration can include an indication of a downlink, DL, positioning reference signal, PRS, resource of a plurality of DL PRS resources. The communication device can further perform (1720) at least one DL angle of departure, AOD, measurement based on the first configuration information. The communication device can further receive (1730) second configuration information from the network node. The second configuration information can include an indication of a subset of the plurality of DL PRS resources. The communication device can further report (1750) one or more DL AOD measurements.

Abstract: Systems and methods for positioning in a cellular communications system are disclosed. A method performed by a first base station (BS) includes receiving a signal transmitted by a second BS and estimating a Time of Arrival (TOA) of the received signal at the first BS according to a clock of the first BS. The method further includes determining a delta value that is or is a function of a time between the TOA of the received signal at the first BS according to the clock and a time reference at the first BS and either (a) providing the delta value to a positioning estimation entity within the communications system or (b) using the delta value at the first BS to reduce a time synchronization error between the first BS and the second BS, or (c) passing the delta value to a User Equipment.

Abstract: Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.

Abstract: Wireless communication equipment (12, 16) detects a targeted signature over time in a Doppler spread and/or an angular spread associated with a wireless communication device (12). Based on detecting the targeted signature, the wireless communication equipment (12, 16) detects a transition (14) by the wireless communication device (12) between an indoor environment (8) and an outdoor environment (6). In some embodiments, based on detecting the transition (14), the wireless communication equipment (12, 16) adapts one or more communication parameters, adjusts resources allocated to the wireless communication device (12), and/or initiates handover of the wireless communication device (12).

Abstract: A method and network node for uplink coordinated multipoint positioning are disclosed. According to one aspect, a method includes employing a coordinated multipoint function to decode data from a WD using signals received from the WD by the network node and from signals received from the WD by a plurality of cooperating network nodes. The method further includes converting the decoded WD data signal into a time domain reference signal and convert the signals received from the plurality of cooperating network nodes into time domain neighbour signals. The method also includes cross-correlating the time domain reference signal with the time domain neighbour signals to determine a time difference of arrival for each of the plurality of time domain neighbour signals. The method also includes calculating a position of the WD based on the time differences of arrival and based on locations of the cooperating network nodes.

Abstract: A method performed by a receiving radio node for positioning a radio device is provided. The receiving radio node receives a first signal from a transmitting radio node, and measures a time of arrival of the first signal. The first signal is also received by a radio device. The receiving radio node further receives a second signal from the radio device. The second signal is the first signal that has been scattered and frequency modulated by the radio device when the first signal was received by the radio device. The receiving radio node measures a time of arrival of the second signal. The receiving radio node then calculates a Time Difference Of Arrival (TDOA) based on the measured time of arrival of the first signal and the measured time of arrival of the second signal.

Abstract: Methods and apparatuses for determining asynchronization between a first clock used by a first node (N1) and a second clock used by a second node (N2). A sequence of time differences is measured based on a sequence of signals periodically sent by the second node (N2) and received by the first node (N1), wherein each time difference of a signal is between a respective transmission timestamp in accordance with the second clock and a respective receiving timestamp in accordance with the first clock; and at least one of a relative phase offset or a relative frequency offset between the first and the second clock is estimated based on the sequence of time differences.

Abstract: Some embodiments advantageously provide methods, wireless devices and network nodes for adapting PRS transmission to hide the local clock information of base stations. According to one aspect, an exemplary process includes a network node for transmitting PRS. The process includes delaying or advancing the transmission of at least one positioning reference signal in accordance with received offset information wherein delaying or advancing the transmission according to the offset information shifts the transmission of the at least one positioning reference signal away from a scheduled transmission time for the at least one positioning reference signal transmission.

Abstract: A method and network node for differential matched summed antenna positioning are disclosed. According to one aspect, a method includes summing sequential uplink data signals at each of a plurality of antennas of the network node to produce a plurality of antenna signal sums. The method also includes selecting one of the antenna signal sums to be used as a reference antenna signal sum. A channel impulse response is determined for each of a plurality of other antennas by cross correlating the reference antenna signal sum with the others of the plurality of antenna signal sums. The method further includes estimating a time difference of arrival from the channel impulse responses of the plurality of antennas, and estimating an error of the estimated time difference of arrival of each antenna. A position of a wireless device is determined using the estimated time differences of arrival.

Abstract: One embodiment provides a method, including: accessing, at an information handling device, a dynamic visual media corpus, wherein the dynamic visual media corpus comprises a plurality of dynamic visual media scripts; segmenting each of the plurality of dynamic visual media scripts into scenes; generating, for each of the plurality of dynamic visual media scripts, a character fingerprint identifying topics corresponding to each character within a corresponding dynamic visual media script, wherein the generating comprises (i) extracting both characters and topics from the dynamic visual media script and (ii) associating each of the topics with a corresponding character, wherein the character fingerprint identifies costumes of a given character and a topic corresponding to each costume; and producing, for each scene within each dynamic visual media script, a scene vector identifying (iii) the topics included within a corresponding scene and (iv) a character fingerprint for each character occurring within the sce

Abstract: Methods and apparatus are provided. In an example aspect, a method (300, 400, 500) of estimating a location of a User Equipment (UE) is provided. The method comprises determining (302) whether a signal transmitted between the UE and a first network node has a line-of-sight (LoS) path between the UE and the first network node, and estimating (304) the location of the UE based on the signal received at the first network node and based on whether the signal has a LoS path.

Abstract: A method for managing the composition and presentation sequencing of compound visual elements, the method including generating a graph of all possible compound visual element combinations, generating a set of possible visual element presentation sequences according to a depth-first search (DFS) of the graph, generating a score for each member of the set of possible visual element presentation sequences according to visual element attributes, and enumerating a visual element presentation sequence according to a visual element presentation sequence score.

Abstract: A method (700, 800), system (3210) and apparatus (900, 1000) are disclosed. According to one aspect, a method (700) for determining positioning is performed by a wireless device (1000). The method (700) comprising: receiving (720) a reference signal and performing a positioning measurement based on the received reference signal; receiving (730) positioning information based on the received reference signal, wherein the received positioning information comprises a positioning measurement reported by a neighbouring wireless device performed on the reference signal; and determining (740) further positioning information based on the positioning measurement and the received positioning information.

Abstract: A computer implemented method performed by a network node in a non-public communication network is provided. The method includes predicting a subsequent position of a first communication device served by a public communication network, wherein the first communication device is causing an interference level on the non-public communication network. The method further includes estimating a level of subsequent interference from the first communication device for the subsequent position. The method further includes initiating control of radio resources to reduce the estimated interference level from the first communication device.

Abstract: A method comprises receiving as input one or more spatial temporal factors associated with one or more products where the one or more spatial temporal factors affect a demand for one or more product attributes of the one or more products at one or more locations at a select period of time and dynamically modifying a first option plan based on the received input of the one or more spatial temporal factors to generate a second option plan for a given location of the one or more locations at the select period of time. The steps are performed by at least one processor device coupled to a memory.

Abstract: Methods, systems, and computer program products for facilitating user selection using trend-based joint embeddings are provided herein. A method includes obtaining a selection of an item in an online catalog; determining a compatible item of the plurality of items at least in part by providing the selected at least one item and at least one previously selected item corresponding to the user to a trend-based machine learning model, wherein the trend-based machine learning model is trained on historical data associated with the item in the online catalog and fine-tuned based on current trend data from multiple data sources; receiving feedback in response to outputting the at least one compatible item; identifying one or more attributes related to the at least one compatible item based on the feedback; and using the trend-based machine learning model to determine at least one additional compatible item based on the one or more attributes.

Abstract: A network node of a wireless communication network configures a wireless device to perform a positioning procedure responsive to occurrences of a defined event, and the wireless device subsequently modifies one or both the positioning measurement instructions and positioning assistance data used for performing one or more future occurrences of the positioning procedure, responsive to receiving modification signaling. Consequently, the network node avoids the signaling burden associated with configuring a new triggered or periodic procedure, while having the ability to modify the ongoing procedure to account for, for example, movements of the wireless device.

Abstract: One embodiment provides a method, including: receiving a multi-variate time-series dataset comprising a plurality of time-dependent datasets; for each of the plurality of time-dependent datasets, segmenting each of the plurality of time-dependent datasets at a transition point; clustering segments of the plurality of time-dependent datasets into clusters having similar lengths of segments; for each cluster (i) selecting a representative segment length and (ii) identifying a feature subset in that cluster; identifying, across the feature subsets, subset transition points, wherein each of the subset transition points corresponds to a change in value that meets a predetermined threshold within its corresponding feature subset; and determining, by applying a threshold test to the subset transition points, a segment length to be used in segmenting the entire multi-variate time-series dataset.